Granica
Research Scientist – Large Tabular Models (LTMs)
San Francisco Bay Area, United States · On-site · FullTime
USD 160,000–240,000/year
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerGranica
- LocationSan Francisco Bay Area, United States
- Work styleOn-site
- Employment typeFullTime
- Employer posted
- Salary (as stated by the employer)USD 160,000 – 240,000 per year
Location: Mountain View, CA (On-site)
Overview
Most of today's generative AI is built for text, images, and video.
Enterprise data isn't.
The world's most valuable data lives in tables: customer records, transactions, financial systems, telemetry, operational data, and business workflows. Today's generative AI stack wasn't designed to learn efficiently from this kind of information.
At Granica, we're building Large Tabular Models (LTMs)—foundation models that learn natively from structured and relational enterprise data.
Our research is led by Prof. Andrea Montanari (Stanford) and focuses on one central question:
How can we build generative AI that learns efficiently from tabular data?
That requires solving problems well beyond model architecture, including intelligent data selection, dataset augmentation, representation learning, and information-preserving compression.
Show full description
If you're excited about inventing the algorithms that make Large Tabular Models possible, we'd love to talk.
What You'll Work On
Develop new machine learning algorithms for Large Tabular Models.
Research methods for selecting, augmenting, and compressing training data without losing information.
Build representation learning techniques for structured and relational datasets.
Prototype and evaluate new approaches for generative modeling over enterprise data.
Design rigorous experiments and benchmarks to measure progress.
Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.
What We're Looking For
PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field.
Strong research record in machine learning.
Experience developing new models or learning algorithms.
Hands-on experience with PyTorch or JAX.
Strong programming skills in Python.
Ability to turn research ideas into working systems.
Experience in structured learning, representation learning, generative modeling, probabilistic modeling, statistical learning, or scalable ML systems is particularly relevant.
Bonus
Research on tabular, relational, or graph data.
Experience with diffusion or other generative modeling approaches.
Publications at NeurIPS, ICML, ICLR, COLT, KDD, or related venues.
Open-source or production ML systems experience.
Compensation & Benefits
Competitive salary, meaningful equity, and performance bonus for top performers
401(k) with company match, comprehensive health coverage, and unlimited PTO
Daily catered meals in our Mountain View office
Support for research, publication, and conference participation
At Granica, you'll help build the next generation of enterprise AI—from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
Data scientist jobs in United States
ROLIVA currently lists 355 open roles like this in United States.
Employers hiring for this
- Capital One Financial38 open roles
- Guidehouse25 open roles
- RELX22 open roles
- Socure12 open roles
- Visa11 open roles
Top skills asked for
Listings whose description mentions each term. A mention is not a requirement.
Advertised salary for this role here
These are advertised ranges, not what people are paid.
- USD a year, after annualising126,000–423,000 (40 listings, 15 employers)
At a glance
- Work styleOn-site
- Employment typeFullTime
- Salary (as stated by the employer)USD 160,000–240,000 per year
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.